scholarly journals Evidencing the logic model of behaviour change underpinning a personalised and tailored app for the self-management of musculoskeletal conditions (Preprint)

10.2196/32669 ◽  
2021 ◽  
Author(s):  
Alice Berry ◽  
Carey McClellan ◽  
Ben Wanless ◽  
Nicola Walsh
Keyword(s):  
Behaviour Change ◽  
Logic Model ◽  
The Self ◽  
Self Management ◽  
Musculoskeletal Conditions

A Framework to Assist School Psychologists and Counsellors in Recommending Quality Apps for Supporting Diabetes Self-Management: An Illustrative Assessment Using Content Analysis

2018 ◽  
Vol 29 (01) ◽  
pp. 82-97
Author(s):  
Brett Furlonger ◽  
Marko Ostojic ◽  
Jasmine Chung ◽  
Katrina Philips ◽  
Margherita Busacca ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Content Analysis ◽  
School Psychologists ◽  
Behaviour Change ◽  
Mental Health Professionals ◽  
The Self ◽  
Self Management ◽  
Behaviour Change Techniques ◽  
Change Strategies

A framework was examined to assist school psychologists and counsellors in recommending quality apps for supporting diabetes self-management. A content analysis was undertaken to assess behaviour change strategies in Apple and Android smartphone apps for the self-management of type 2 diabetes. The Behaviour Change Technique Taxonomy was used to assess the presence of behaviour change strategies, while the Mobile App Rating Scale was used to assess overall app quality. Raters found, on average, 7.13 behaviour change techniques out of a possible 93, indicating few behaviour change techniques in apps for the self-management of Type 2 diabetes. Analysis indicated that apps of a higher overall quality tended to incorporate more behaviour change strategies. It was concluded that mental-health professionals are advantaged if they are able to assess and refine selection tools for matching apps with the needs of students with diabetes.

Evidencing the logic model of behaviour change underpinning a personalised and tailored app for the self-management of musculoskeletal conditions (Preprint)

2021 ◽  
Author(s):  
Alice Berry ◽  
Carey McClellan ◽  
Ben Wanless ◽  
Nicola Walsh
Keyword(s):  
Behaviour Change ◽  
Digital Health ◽  
Systems Design ◽  
Logic Model ◽  
Self Management ◽  
Behaviour Change Techniques ◽  
Design Framework ◽  
Management Tools ◽  
Change Models ◽  
The Uk

BACKGROUND Musculoskeletal (MSK) conditions such as back and joint pain are a growing problem, affecting 18.8 million people in the UK. Digital health interventions (DHIs) are a potentially effective way to deliver information and to support self-management. It is vital that the development of such interventions is transparent, can illustrate how individual components work, how they link back to the theoretical constructs they are attempting to change, and how this might influence outcomes. getUBetter is a DHI developed to address the lack of personalised supported self-management tools available to patients with MSK conditions, by providing knowledge, skills and confidence to navigate through a self-management journey. OBJECTIVE The aim of this project was to map a logic model of behaviour change for getUBetter, to illustrate how content and functionality of the DHI is aligned with recognised behavioural theory, effective behaviour change techniques (BCTs), and clinical guidelines. METHODS A range of behaviour change models and frameworks were used including the behaviour change wheel and persuasive systems design framework to map the logic model of behaviour change underpinning getUBetter. Three main stages included: 1) understanding the behaviour the intervention is attempting to change, 2) identifying which elements of the intervention might bring about the desired change in behaviour, and 3) describing intervention content and how this can be optimally implemented. RESULTS The content mapped to 25 BCTs, including: information about health consequences, instruction on how to perform a behaviour, reducing negative emotions, and verbal persuasion about capability. Mapping to the persuasive system design framework illustrated the use of a number of persuasive design principles, including: tailoring, personalisation, simulation, and reminders. CONCLUSIONS This process enabled the proposed mechanisms of action and theoretical foundations of getUBetter to be comprehensively described, highlighting the key techniques utilised to support patients to self-manage their condition. These findings provide guidance for the on-going evaluation of effectiveness (including quality of engagement) of the intervention, and highlight areas which might be strengthened in future iterations.

Ways in which school psychologists can identify suitable apps for supporting the self-management of asthma by students

2020 ◽  
Vol 37 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Brett E. Furlonger ◽  
Jasmine Chung ◽  
Marko Ostojic ◽  
Margherita Busacca ◽  
Dennis W. Moore ◽  
...  
Keyword(s):  
Health Information ◽  
School Psychologists ◽  
Behaviour Change ◽  
Management Practices ◽  
Selection Process ◽  
The Self ◽  
Self Management ◽  
Behaviour Change Techniques ◽  
Chronic Asthma ◽  
Quality Health

AbstractThe effective management of chronic asthma requires long-term adherence to both pharmacotherapy and optimal self-management practices. The use of mobile applications (apps) offer a promising and cost-effective platform to support the self-management of asthma. However, students as consumers may not always be sufficiently knowledgeable to select the best app to link with the management of their condition. If school psychologists become familiar with apps, they may be better positioned to provide guidance to students about app selection and how to identify apps that include appropriate behaviour change techniques (BCT). Accordingly, the overall aim of this study was to present a method by which school psychologists could identify quality apps for the purpose of supporting students who need to self-manage chronic asthma. A directed content analysis was used to evaluate asthma apps, based on behaviour change content and app quality. A systematic selection process yielded a total of 36 apps (26 from iTunes, 12 from Google Play) that were evaluated using two published rating measures. Overall, apps contained limited BCTs and a low level of quality health information. Conversely, apps with higher quality health information utilised a larger range of BCTs than lower quality apps. It was concluded that while apps designed to support the management of asthma appear to be a potentially valuable addition to traditional interventions, the technology is still in its infancy, and school psychologists should be aware of the limited behaviour change content, age appropriateness of apps, and whether the health information provided is evidence-based.

Identifying the Predictors of Self-Management Behaviors in Patients with Diabetes Based on Ecological Approach: A Systematic Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Mahnaz Davari ◽  
Hamed Rezakhani Moghaddam ◽  
Aghil Habibi Soola
Keyword(s):  
Scientific Information ◽  
The Self ◽  
Self Management ◽  
Ecological Approach ◽  
Selection Strategy ◽  
Diabetic Patients ◽  
Personal Factors ◽  
Management Interventions ◽  
Number Of Patients ◽  
Management Behaviors

Background: Recognizing and promoting the factors that affect the self-management behaviors of diabetes leads to a reduction in the number of patients and an improvement in the quality of care. The ecological approach focuses on the nature of people's interactions with their physical and socio-cultural environments. Objective: The purpose of this study was to identify the predictors of self-management behaviors with a comprehensive approach in these patients. Methods: The Keywords were investigated in the relevant national and international databases, including PubMed, Google Scholar, Science Direct, Scopus, and Scientific Information Database, Magiran, and Iran Medex to obtain the articles published from 2009 to 2019. The search and article selection strategy was developed based on the Prisma checklist and was carried out in three steps. Results: Most studies have shown that personal factors had the highest prediction power for the self-management of diabetes. Then, the interpersonal factors, society and policy-making factors, and group and organization factors were most frequently reported predictors of self-management behaviors in diabetic patients. Conclusion: Self-management of diabetes is necessary for controlling it because 95% of care is done by the patient. When designing self-management interventions, factors based on the individual level that increasing self-management behaviors should be taken into account.

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